Opinion OPINION: Our students need up-to-date approaches to math education for a quickly changing world Data science and statistical reasoning must be part of what all students learn by Pamela Burdman ...

Across the country, parents are discovering that what their children bring home from school looks very little like what they ...

Imagine Learning is proud to announce that Imagine Learning Illustrative Mathematics, the leading problem-based core math ...

This feedback enables the model to gradually learn the correct way of completing the tasks it receives. DeepSeek optimized R1 for reasoning tasks such as generating code and solving math problems.

Dubbed LeMa (Learning from Mistakes), the approach they propose consists of using GPT-4 as a kind of "corrector" for inaccurate reasoning generated by various LLMs.

By Neelakantha Bhanu Prakash As someone who has dedicated their life to understanding, teaching, and celebrating the beauty ...

The research focuses on distillationtechnology, a common model trainingmethod aimed at allowing one model (the student model) to learn from the outputs of another model (the teacher model).

As a paradigmatic example, we apply a Peircean semiotic framework to answer the question of how students develop a notion of 'distribution' in a statistics course by 'diagrammatic reasoning' and by ...